Image Resizer

The image resizer takes a source image and optional constraints to produce a web-ready asset under 100 KB.
Conceptually, it separates dimension reduction from quality compression: it first scales within max width/height while preserving aspect ratio, then applies controlled compression or format conversion to reduce file size with minimal perceptual loss. The workflow is data-centric and deterministic: given a source image and constraints, the tool computes a candidate size and quality, performs resize and recompression, and reports the resulting dimensions and an estimate of the final size. Beneficiaries include developers delivering thumbnails, marketers generating email-friendly visuals, and content teams needing consistent assets. Unique differentiators include strict targets for file size combined with automatic aspect-ratio preservation, optional metadata stripping, and a straightforward payload suitable for automation. Core features include input validation; dimension-aware resizing; quality-based compression with adjustable quality; support for JPEG and PNG; output as a ready-to-use image payload; and a lightweight model for estimating final size. Use cases cover resizing product photos for catalogs, web banners, social images, and email-friendly visuals. The process is designed to be deterministic and reusable in automation. A typical run uploads an image, sets a max dimension or target size, optionally enables metadata stripping, and executes resize and compression; outputs include the new dimensions, final size estimate, and a downloadable image payload. The tool supports API-driven workflows with a single-image focus.